Estimation of PM2.5 Emissions and Source Apportionment Using Receptor and Dispersion Models

International Journal of Information Technology

Swetha Priya Darshini Thammadi ; Sateesh Kumar Pisini ; Sanjay Kumar Shukla

关键词: CMB;    GIS;    AERMOD;    PM2.5;    fugitive;    emission inventory.;   

DOI  :  10.1999/1307-6892/10009319

学科分类：计算机应用

来源: World Academy of Science, Engineering and Technology (W A S E T)

【 摘 要 】

Source apportionment using Dispersion model depends primarily on the quality of Emission Inventory. In the present study, a CMB receptor model has been used to identify the sources of PM2.5, while the AERMOD dispersion model has been used to account for missing sources of PM2.5 in the Emission Inventory. A statistical approach has been developed to quantify the missing sources not considered in the Emission Inventory. The inventory of each grid was improved by adjusting emissions based on road lengths and deficit in measured and modelled concentrations. The results showed that in CMB analyses, fugitive sources - soil and road dust - contribute significantly to ambient PM2.5 pollution. As a result, AERMOD significantly underestimated the ambient air concentration at most locations. The revised Emission Inventory showed a significant improvement in AERMOD performance which is evident through statistical tests.

【 授权许可】

Unknown